Applied Statistics MSc Birkbeck, University of London

This programme has been specially designed to meet the personal and career development needs of people who want to continue working, or gain valuable interning experience, while also studying in the evening. Many of our students are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures. This programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the modelling and forecasting of time-dependent phenomena.

The course covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce and research. It proceeds from a strong theoretical background, but it is practically oriented to develop your ability to tackle new and non-standard problems confidently. The mutual dependence of practice and theory is emphasised throughout the course.

Accredited by the Royal Statistical Society - graduates may be granted Graduate Statistician (GradStat) status.

ASSESSMENT

Assessment is an integral part of your university studies and usually consists of a combination of coursework and examinations, although this will vary from course to course - on some of our courses, assessment is entirely by coursework. The methods of assessment on this course are specified below under 'Methods of assessment on this course'. You will need to allow time to complete coursework and prepare for exams.

CAREERS AND EMPLOYABILITY

Graduates can pursue careers in data collection, research, analysis, modelling and forecasting. Possible professions include statistician, operational researcher, or research scientist (maths). This degree may also be useful in becoming a forensic statistician or higher education lecturer.